Data Scientist

Infolet; Polska; On-site; PLN 240,000 - 320,000; Full time

Job summary

A leading technology company in Poland is seeking a Marketing & Employer Branding Manager to support the development of innovative data ecosystems in automotive. Ideal candidates will have 5+ years of experience, strong skills in PySpark, Python, and GitHub, and must be fluent in Polish and proficient in English. The role offers a gross salary between 20,000 - 24,000 PLN, including a relocation package and benefits like extended medical care and life insurance.

Benefits

Relocation package

Extended medical care

Multisport Benefit card

Life insurance

Qualifications

• 5+ years of experience in related fields.
• Strong commercial experience with PySpark.
• Fluent in Polish and possess good English communication skills.

Responsibilities

• Develop Spark jobs for data ingestion and feature engineering.
• Build logic for model evaluation and automated deployment decisions.
• Enhance data quality metrics and monitoring coverage.
• Expand model monitoring logic and dashboards.

Skills

PySpark

Python

GitHub

Data analysis (Jupyter, Seaborn)

SQL

Kubeflow or MLflow

MLOps practices

ML frameworks (scikit-learn, Pandas, Optuna)

Grafana dashboards

AWS services

Statistics and machine learning

Fluent in Polish and good English

Job description

Marketing & Employer Branding Manager @ Infolet | Driving Employer Branding & Recruitment | Exploring Future Tech, Leadership & Collaboration |…

SUMMARY

💰 20 000 - 24 000 PLN gross on UoP

PROJECT

We are looking for an experienced Data Scientist to support the development and continuous enhancement of a large-scale data and machine learning ecosystem used in next-generation automotive solutions.

The project involves building Spark-based data pipelines, improving data quality processes, implementing model evaluation workflows, and developing robust monitoring for ML models running in production.

The role includes both initial development of the platform components and long-term maintenance and optimization.

YOU WILL

Initial Development:

• Develop Spark jobs for data ingestion and feature engineering
• Build logic for model evaluation and automated deployment decisions
• Develop model monitoring with visualized KPIs and technical metrics

Further Development / Maintenance:

• Continuously extend data pipelines and feature engineering workflows
• Enhance data quality metrics and monitoring coverage
• Expand model monitoring logic and dashboards
• Troubleshoot and fix code issues, including edge cases
• Experiment with new ML algorithms and additional data attributes
• Optimize performance and cost (algorithms, data structures, storage formats)

MUST HAVE

• 5+ years of experience
• Strong commercial experience with PySpark
• Excellent knowledge of Python
• Practical experience with GitHub
• Strong data analysis skills (Jupyter, Seaborn, exploratory analytics)
• Solid SQL knowledge
• Experience with Kubeflow or MLflow (MLOps frameworks for training, deployment & monitoring)
• Understanding of MLOps practices, including continuous training
• Experience with ML frameworks: scikit-learn, Pandas, Optuna
• Ability to create Grafana dashboards
• General knowledge of AWS services (S3, IAM, etc.)
• In-depth understanding of statistics and machine learning (missing data, outliers, model validation, algorithms)
• Fluent in Polish and good English

NICE TO HAVE

• Background in automotive or IoT data projects
• Experience with cost optimization for ML systems
• Experience with large‑scale model deployment pipelines

OUR OFFER

• Relocation package (4500 PLN total value), paid in three installments (1500 PLN per month)
• Benefits: Extended medical care (over 2000 medical facilities in Poland, 80 in Kraków) for you and your family; Multisport Benefit card; Life insurance